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Update app.py
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app.py
CHANGED
@@ -11,31 +11,34 @@ from pypinyin import lazy_pinyin, Style
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from matplotlib.backends.backend_pdf import PdfPages
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def get_font(size=14):
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"""Loads a
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font_path = "simHei.ttc"
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if not os.path.exists(font_path):
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font_path = "SimHei.ttf"
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return font_manager.FontProperties(fname=font_path, size=size)
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def get_pinyin_abbr(text):
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"""
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if not text:
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return ""
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# Extract the first two Chinese characters
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chars = [c for c in text if '\u4e00' <= c <= '\u9fff']
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chars
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pinyin_list = lazy_pinyin(chars, style=Style.FIRST_LETTER)
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return ''.join(pinyin_list).upper()
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def process_schedule(file):
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"""Processes the uploaded Excel file to extract and clean
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try:
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#
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date_df = pd.read_excel(file, header=None, skiprows=7, nrows=1, usecols=[3])
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date_str = pd.to_datetime(date_df.iloc[0, 0]).strftime('%Y-%m-%d')
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base_date = pd.to_datetime(date_str).date()
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except
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# Fallback to the current date if reading fails
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date_str = datetime.today().strftime('%Y-%m-%d')
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base_date = datetime.today().date()
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@@ -44,8 +47,6 @@ def process_schedule(file):
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# Read the main schedule data
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df = pd.read_excel(file, header=9, usecols=[1, 2, 4, 5])
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df.columns = ['Hall', 'StartTime', 'EndTime', 'Movie']
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# Clean and process the data
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df['Hall'] = df['Hall'].ffill()
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df.dropna(subset=['StartTime', 'EndTime', 'Movie'], inplace=True)
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df['Hall'] = df['Hall'].astype(str).str.extract(r'(\d+号)')
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@@ -57,24 +58,24 @@ def process_schedule(file):
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df['EndTime_dt'] = pd.to_datetime(df['EndTime'], format='%H:%M', errors='coerce').apply(
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lambda t: t.replace(year=base_date.year, month=base_date.month, day=base_date.day) if pd.notnull(t) else t
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)
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# Handle overnight screenings
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df.loc[df['EndTime_dt'] < df['StartTime_dt'], 'EndTime_dt'] += timedelta(days=1)
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df = df.sort_values(['Hall', 'StartTime_dt'])
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# Merge consecutive screenings of the same movie
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merged_rows = []
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for
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group = group.sort_values('StartTime_dt')
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current = None
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for _, row in group.iterrows():
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if current is None:
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current = row.copy()
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elif row['Movie'] == current['Movie']:
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current['EndTime_dt'] = row['EndTime_dt']
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else:
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if current is not None:
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merged_rows.append(current)
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@@ -88,115 +89,115 @@ def process_schedule(file):
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merged_df['EndTime_str'] = merged_df['EndTime_dt'].dt.strftime('%H:%M')
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return merged_df[['Hall', 'Movie', 'StartTime_str', 'EndTime_str']], date_str
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except
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st.error(f"Error processing file: {e}")
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return None, date_str
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def create_print_layout(data, date_str):
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"""Creates the PNG and PDF print layouts from the
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if data is None or data.empty:
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return None
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#
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png_fig = plt.figure(figsize=(8.27, 11.69), dpi=300)
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png_ax = png_fig.add_subplot(111)
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png_ax.set_axis_off()
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png_fig.subplots_adjust(left=0.02, right=0.98, top=0.98, bottom=0.02)
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pdf_fig = plt.figure(figsize=(8.27, 11.69), dpi=300)
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pdf_ax = pdf_fig.add_subplot(111)
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pdf_ax.set_axis_off()
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pdf_fig.subplots_adjust(left=0.02, right=0.98, top=0.98, bottom=0.02)
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def process_figure(fig, ax):
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"""
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# --- Dynamic Height and Font Size Calculation ---
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halls = sorted(data['Hall'].unique(), key=lambda h: int(h.replace('号', '')))
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num_movies = len(data)
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num_separators = len(halls) - 1 if len(halls) > 1 else 0
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-
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# Total vertical slots = movies + separators + 2 for padding
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total_slots = num_movies + num_separators + 2
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available_height = 0.96 # Usable page height (0.98 top - 0.02 bottom)
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line_height = available_height / total_slots
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-
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# Convert figure line height to font points (72 points per inch)
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fig_height_inches = fig.get_figheight()
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font_size_pt = (fig_height_inches * line_height) * 72 * 0.90 # 90% of line height
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movie_font = get_font(font_size_pt)
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hall_font = get_font(font_size_pt) # Use the same size for impact
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date_font = get_font(12)
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-
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for i, hall in enumerate(halls):
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hall_data = data[data['Hall'] == hall]
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movie_count = 1
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for _, row in hall_data.iterrows():
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#
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# Hall number is printed only for the first movie of the hall
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if movie_count == 1:
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ax.text(0.03, y_position,
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fontsize=
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fontproperties=hall_font,
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pinyin_abbr = get_pinyin_abbr(row['Movie'])
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time_str = f"{row['StartTime_str']} - {row['EndTime_str']}"
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# Define x-coordinates for each column
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x_movie_name_end = 0.48
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x_seq_no_start = 0.51
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x_pinyin_start = 0.62
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x_time_start = 0.75
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#
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fontproperties=movie_font,
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# Sequence Number (
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ax.text(
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fontsize=
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# Pinyin Abbreviation (
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ax.text(
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fontsize=
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# Time (
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ax.text(
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fontsize=
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y_position -=
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movie_count += 1
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#
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if i <
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ax.
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color='black', linewidth=0.8, transform=ax.transAxes)
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y_position -= line_height # Add space for the separator line
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#
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process_figure(png_fig, png_ax)
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process_figure(pdf_fig, pdf_ax)
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# Save PNG to
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png_buffer = io.BytesIO()
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png_fig.savefig(png_buffer, format='png', bbox_inches='tight', pad_inches=0.05)
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png_buffer.seek(0)
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image_base64 = base64.b64encode(png_buffer.getvalue()).decode()
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plt.close(png_fig)
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# Save PDF to
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pdf_buffer = io.BytesIO()
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with PdfPages(pdf_buffer) as pdf:
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pdf.savefig(pdf_fig, bbox_inches='tight', pad_inches=0.05)
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@@ -210,11 +211,13 @@ def create_print_layout(data, date_str):
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}
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def display_pdf(base64_pdf):
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"""
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pdf_display = f
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return pdf_display
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# --- Streamlit App
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st.set_page_config(page_title="LED 屏幕时间表打印", layout="wide")
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st.title("LED 屏幕时间表打印")
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from matplotlib.backends.backend_pdf import PdfPages
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def get_font(size=14):
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"""Loads a font file, searching for common names."""
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font_path = "simHei.ttc"
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if not os.path.exists(font_path):
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font_path = "SimHei.ttf"
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return font_manager.FontProperties(fname=font_path, size=size)
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def get_pinyin_abbr(text):
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"""Gets the first letter of the Pinyin for the first two Chinese characters of a text."""
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if not text:
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return ""
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# Extract the first two Chinese characters
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chars = [c for c in text if '\u4e00' <= c <= '\u9fff']
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if len(chars) < 2:
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chars = chars + [''] * (2 - len(chars))
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else:
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chars = chars[:2]
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# Get the first letter of the Pinyin
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pinyin_list = lazy_pinyin(chars, style=Style.FIRST_LETTER)
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return ''.join(pinyin_list).upper()
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def process_schedule(file):
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"""Processes the uploaded Excel file to extract and clean schedule data."""
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try:
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# Try to read the date from a specific cell
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date_df = pd.read_excel(file, header=None, skiprows=7, nrows=1, usecols=[3])
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date_str = pd.to_datetime(date_df.iloc[0, 0]).strftime('%Y-%m-%d')
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base_date = pd.to_datetime(date_str).date()
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except:
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# Fallback to the current date if reading fails
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date_str = datetime.today().strftime('%Y-%m-%d')
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base_date = datetime.today().date()
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# Read the main schedule data
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df = pd.read_excel(file, header=9, usecols=[1, 2, 4, 5])
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df.columns = ['Hall', 'StartTime', 'EndTime', 'Movie']
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df['Hall'] = df['Hall'].ffill()
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df.dropna(subset=['StartTime', 'EndTime', 'Movie'], inplace=True)
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df['Hall'] = df['Hall'].astype(str).str.extract(r'(\d+号)')
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df['EndTime_dt'] = pd.to_datetime(df['EndTime'], format='%H:%M', errors='coerce').apply(
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lambda t: t.replace(year=base_date.year, month=base_date.month, day=base_date.day) if pd.notnull(t) else t
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)
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# Handle overnight screenings
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df.loc[df['EndTime_dt'] < df['StartTime_dt'], 'EndTime_dt'] += timedelta(days=1)
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df = df.sort_values(['Hall', 'StartTime_dt'])
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# Merge consecutive screenings of the same movie
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merged_rows = []
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for hall, group in df.groupby('Hall'):
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group = group.sort_values('StartTime_dt')
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current = None
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for _, row in group.iterrows():
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if current is None:
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current = row.copy()
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else:
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if row['Movie'] == current['Movie']:
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current['EndTime_dt'] = row['EndTime_dt']
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else:
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merged_rows.append(current)
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current = row.copy()
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if current is not None:
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merged_rows.append(current)
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merged_df['EndTime_str'] = merged_df['EndTime_dt'].dt.strftime('%H:%M')
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return merged_df[['Hall', 'Movie', 'StartTime_str', 'EndTime_str']], date_str
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except:
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return None, date_str
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def create_print_layout(data, date_str):
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"""Creates the PNG and PDF print layouts from the schedule data."""
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if data is None or data.empty:
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return None
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# Create PNG image for preview
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png_fig = plt.figure(figsize=(8.27, 11.69), dpi=300)
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png_ax = png_fig.add_subplot(111)
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png_ax.set_axis_off()
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png_fig.subplots_adjust(left=0.02, right=0.98, top=0.98, bottom=0.02)
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# Create PDF image for download
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pdf_fig = plt.figure(figsize=(8.27, 11.69), dpi=300)
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pdf_ax = pdf_fig.add_subplot(111)
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pdf_ax.set_axis_off()
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pdf_fig.subplots_adjust(left=0.02, right=0.98, top=0.98, bottom=0.02)
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def process_figure(fig, ax, is_pdf=False):
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"""Shared function to draw the schedule on a matplotlib figure."""
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date_font = get_font(12)
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# Calculate row height to fill the page
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total_movies = len(data)
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# Add 2 to the total to create top and bottom margins
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total_divisions = total_movies + 2
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available_height_ax = 0.98 - 0.02 # Use 96% of the page height
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row_height_ax = available_height_ax / total_divisions
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# Convert relative height to point size for fonts
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fig_height_pts = fig.get_figheight() * 72
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row_height_pts = row_height_ax * fig_height_pts
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# Set font size to 90% of the calculated row height
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font_size = row_height_pts * 0.9
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hall_font_size = font_size * 0.8
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hall_font = get_font(hall_font_size)
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movie_font = get_font(font_size)
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# Add date stamp to the top left
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ax.text(0.00, 1.00, date_str, fontsize=12, color='#A9A9A9',
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ha='left', va='top', fontproperties=date_font, transform=ax.transAxes, zorder=2)
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halls = sorted(data['Hall'].unique(), key=lambda h: int(h.replace('号','')) if h else 0)
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# Start drawing from the top, leaving one row_height as a margin
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y_position = 0.98 - row_height_ax
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for i, hall in enumerate(halls):
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hall_data = data[data['Hall'] == hall]
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hall_num = hall.replace("号", "")
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hall_text = f"${hall_num}^{{\\#}}$"
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movie_count = 1
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for _, row in hall_data.iterrows():
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# Hall Number (left-aligned)
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if movie_count == 1:
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ax.text(0.03, y_position, hall_text,
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fontsize=hall_font_size, fontweight='bold',
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ha='left', va='top', fontproperties=hall_font,
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transform=ax.transAxes, zorder=2)
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pinyin_abbr = get_pinyin_abbr(row['Movie'])
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# New content order and alignment
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# 1. Movie Name (right-aligned)
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ax.text(0.55, y_position, row['Movie'],
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fontsize=font_size, ha='right', va='top', fontproperties=movie_font,
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transform=ax.transAxes, zorder=2)
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# 2. Sequence Number (left-aligned)
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ax.text(0.57, y_position, f"{movie_count}.",
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fontsize=font_size, ha='left', va='top', fontproperties=movie_font,
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transform=ax.transAxes, zorder=2)
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# 3. Pinyin Abbreviation (left-aligned)
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ax.text(0.63, y_position, pinyin_abbr,
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fontsize=font_size, ha='left', va='top', fontproperties=movie_font,
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transform=ax.transAxes, zorder=2)
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# 4. Time (left-aligned)
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ax.text(0.72, y_position, f"{row['StartTime_str']} - {row['EndTime_str']}",
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fontsize=font_size, ha='left', va='top', fontproperties=movie_font,
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transform=ax.transAxes, zorder=2)
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y_position -= row_height_ax
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movie_count += 1
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# Draw a black line to separate halls
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if i < len(halls) - 1:
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line_y = y_position + (row_height_ax / 2)
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ax.plot([0.03, 0.97], [line_y, line_y], color='black', linewidth=1, transform=ax.transAxes, zorder=1)
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# Process both the PNG and PDF figures
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process_figure(png_fig, png_ax)
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process_figure(pdf_fig, pdf_ax, is_pdf=True)
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# Save PNG to buffer
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png_buffer = io.BytesIO()
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png_fig.savefig(png_buffer, format='png', bbox_inches='tight', pad_inches=0.05)
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png_buffer.seek(0)
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image_base64 = base64.b64encode(png_buffer.getvalue()).decode()
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plt.close(png_fig)
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# Save PDF to buffer
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pdf_buffer = io.BytesIO()
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with PdfPages(pdf_buffer) as pdf:
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pdf.savefig(pdf_fig, bbox_inches='tight', pad_inches=0.05)
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}
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def display_pdf(base64_pdf):
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"""Generates the HTML to embed a PDF in Streamlit."""
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pdf_display = f"""
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<iframe src="{base64_pdf}" width="100%" height="800" type="application/pdf"></iframe>
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"""
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return pdf_display
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# --- Streamlit App ---
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st.set_page_config(page_title="LED 屏幕时间表打印", layout="wide")
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st.title("LED 屏幕时间表打印")
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